STATS C236
Introduction to Bayesian Statistics
Statistics · 4 units · Graduate courses (200-299)
Designed for graduate students. Introduction to statistical inference based on use of Bayes theorem, covering foundational aspects, current applications, and computational issues. Topics include Stein paradox, nonparametric Bayes, and statistical learning. Examples of applications vary according to interests of students. Concurrently scheduled with course C180.
S/U or letter grading.
Requisites
Official UCLA wording
Recommended requisite: course 200A or 200B.
BruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS C236
- STATS 200AApplied Probability
- STATS 100AIntroduction to Probability
- MATH 170AProbability Theory I
- MATH 32BCalculus of Several Variables
- STATS 200BTheoretical Statistics
2 direct requisites. Showing 9 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
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What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.